


What is Bootstrap Method? What is boostsrap sampling?Bootstrap is sampling with replacement from a sample. Bootstrap is sampling within a sample. The name may come from phrase “pull up by your own bootstraps” which mean ‘rely on your own resources'. Bootstrap sampling relies on its own sample as often the only resources a researcher has. Bootstrap correspondence principle says that estimator of sub sampling (taken by bootstrap method) is equal to the estimate of sample. The idea of bootstrap is shown in the diagram above. Suppose you want to assess statistical accuracy of your sample data (statistics of sample), you can take N bootstrap samplings (sometimes its called bootstrap resampling) and compute the statistics from each boostrap sampling. The values of boostrap statistics are used to evaluate the statistical accuracy of the origial sample statistics. Click here on example of how to do bootstrap sampling
What are the assumption of Bootstrap?Bootstrap method has assumption
Example Applications of BootstrapHere are some typical statistical examples of problems that you can use Bootstrap method to solve
Preferable reference for this tutorial is Teknomo, Kardi. Bootstrap Sampling Tutorial. http://people.revoledu.com/kard/ tutorial/bootstrap/




